Study Guide

Assessment scale

0-5

Objectives (course unit)

After completing the course, a student:
- understands the fundamental concepts of artificial intelligence and its applications in the green transition
- understands how AI can contribute for developing circular economy concepts

Content (course unit)

AI Tools and Technologies such as machine learning, deep learning, natural language processing, and robotics,
Case study of how AI tools and technologies can be used in the green transition.

Location and time

Online. Weekly meetings schedule will be approved in the first session. Thursday afternoons probable.

Exam schedules

No exam.

Assessment methods and criteria

Students are graded based on attendance and participation on weekly sessions (35%), case study (35%) and final project/podcast (30%).
Opportunities for extra credit or absence makeup exist via taking support roles in team learning and/or podcasting.

Assessment scale

0-5

Teaching methods

Team learning, inquiry-based projects, and prototyping (=building a basic model of your idea to test to see what works), case study and final project are done in small teams

Learning materials

No mandatory reading.

Student workload

Approximatelly 135h in total

Content scheduling

First session on 24.9.2024. Weekly sessions for 12 weeks with the Chrismas/New Years break in the middle. The last session on or about 20.2.2025. Case study deadline on or about 30.1.2025. Podcast publication deadline on or about 17.2.2024.

Completion alternatives

The course requires in person participation in weekly online meetings. Occasional absences can be made up by taking support roles in team learning and/or podcasting.
The course defaults to students working in small teams in their case study and final project/podcast. If that is unfeasible, for example if the case study requires access to confidential information, allowances can be made for individual work after case by case consideration.

Practical training and working life cooperation

Students are encouraged to engage industry experts in their final project/podcast.

International connections

Students are encouraged to engage international industry experts in their final project/podcast and/or draw their case study topic from an international domain.

Objectives (course unit)

After completing the course, a student:
- understands the fundamental concepts of artificial intelligence and its applications in the green transition
- understands how AI can contribute for developing circular economy concepts

Content (course unit)

AI Tools and Technologies such as machine learning, deep learning, natural language processing, and robotics,
Case study of how AI tools and technologies can be used in the green transition.

Assessment scale

0-5

Assessment scale

0-5

Objectives (course unit)

In this course you will study basics of Finnish language. Estimated level is A1.3.

Objectives
After completing the course, the students will be able to:
• pronounce Finnish quite correctly
• understand and use short and simply structured expressions that concern basic situations related to everyday life
• learn to build up their vocabulary
• learn to use the basic grammatical structures of Finnish
• know, use and understand simple spoken and written expressions connected to everyday life.

Content (course unit)

Study book Suomen mestari 1, chapters 1–4, 8:
• alphabet and numbers
• introducing oneself
• telling about one’s family and background
• simple description of things and people
• telling about the weather
• shopping and food
• grammatical structures: basic sentences and questions, verb conjugation (positive and negative verbs), partitive, genitive, KPT-change, I have -structure

Assessment criteria, satisfactory (1-2) (course unit)

Students have been able to complete all the assignments acceptably. They can exchange greetings/farewells, introduce oneself and name a few objects. It is hard for them to attend a simple conversation or create a short text. Their pronunciation causes difficulties to understand meanings of produced speech.

Assessment criteria, good (3-4) (course unit)

Students have been able to complete all the assignments. Students have an active attitude towards studying Finnish language showing that by completing tasks according to the schedule. They are able to cope in the most common simple everyday situations. Students can use typical grammatical structures e.g. basic verb conjugation, possessive structure and partitive in simple sentences. They can write brief texts and pronounce Finnish quite clearly.

Assessment criteria, excellent (5) (course unit)

Students have been able to complete all the assignments acceptably. They have a positive and active attitude towards learning language. They can pronounce Finnish distinctively and are able to use suitable and varied expressions in everyday situations using grammar almost correctly. Students can participate in a conversation asking and responding to questions about topics studied in the course. They can write simple texts and recombine words and phrases into new sentences.

Location and time

Classes once a week - check your calendar for time and place (varies).

Exam schedules

Final exam at the end of the course.

Assessment methods and criteria

Participation in the course meetings.
Review of the course assignments.
Grade of the final exam.

Grading: 1-5.

Assessment scale

0-5

Teaching methods

We have classes once a week (3 x 45 min). There we focus on functional language usage and communicative methods. Discussions, group and pair work etc.

We also have independent work each week (instructions in Moodle). Independent work is essential for learning.

Learning materials

Study book Suomen mestari 1 uudistettu, chapters 5 - 9 + teacher´s materials on Moodle.

Student workload

You should prepare for the following schedule in each course week:
- 1 x 3 classes weekly.
- 6-10 hours of independent work (homework, course assignments, independent practice). The amount of independent work varies each week.

Completion alternatives

-

Further information

Guidelines for using AI in this implementation
If a student uses AI tools in an allowed manner to assist with their learning tasks, they must cite the AI tools used and provide the prompts they used alongside their task responses. If a student presents AI-generated results as their own without citations, sources, and/or prompts, the teacher may reject the work or require it to be redone. The teacher has the right to ask the student if they have used AI in their learning task.

Objectives (course unit)

In this course, participants create mutual understanding on how the circular economy (CE) and risk management are interconnected. They explore the relation of both CE and risk management to sustainable development and the to need for systemic change. Participants will explore the transition from linear to circular economy, by using current concepts, solutions, and ecosystems created to promote the CE. As an important part of the course, the participants will familiarize themselves with risk management and how to identify, assess, and prioritize risks in different contexts. Participants learn how to search CE and risk management related literature from various sources and learn how to analyse and assess the reliability of different information sources. The assignments aim to support the use of versatile information sources and analysis of the materials from different viewpoints.

After completing the course, the participants can:
- Utilize various sources to find research-based information
- Explain current research-based knowledge of CE
- Analyze current concepts, solutions, and ecosystems of CE
- Describe risk management tools and processes
- Interpret connections between CE and risk management
- Suggest improvements for current CE concepts, solutions, and ecosystems

Content (course unit)

Information sources and searches
Current knowledge of CE
CE concepts, solutions, and ecosystems
Terminology of risk management
Risk management methods and tools
Implementation of risk management processes

Assessment criteria, satisfactory (1-2) (course unit)

The student can perform routine searches to find research-based information. The student can recognize and define phenomena and basic concepts of circular economy. The student knows the terminology, methods, and basic tools of risk management. The student can, with the help of others, manage to solve assigned tasks. The student gives and receives feedback but considers and assesses things only from his/her own point of view, without being able to generalize and contextualize. Commitment to create mutual understanding about interconnection of CE and risk management remains unclear and limited.

Assessment criteria, good (3-4) (course unit)

The student can perform searches of research-based information from various sources and explain and compare results in a logical way and can assess the reliability of the sources. The student can structure relations between field-related phenomena and the existing CE knowledge and concepts. Student can explain the terminology, methods, and tools of risk management and apply the knowledge. The student can apply research-based information to assigned tasks and select the most appropriate courses of actions from diverse options and justify his/her choice. The student can give and receive feedback actively and constructively and is able to generalize and conceptualize his/her views. The student can cooperate responsibly and is committed to creating mutual understanding about interconnections between CE and risk management.

Assessment criteria, excellent (5) (course unit)

The student can find research-based information from various sources and analyze and generalize and conceptualize the information. The student can relate the information to the professional context and is able to discuss the contents in an objective way. The student understands the terminology, methods, and tools for risk management and how to apply them professionally. The student can apply research-based information to assigned tasks in a versatile way and is able to select the most appropriate courses of actions from diverse options and justify his/her choice and try new courses of action. The student uses feedback systematically as a professional tool for growth in his/her own work and for the benefit of the community. The student can cooperate responsibly, flexibly, and constructively and develops his/her own and the group's interaction to create mutual understanding about interconnections between CE and risk management.

Assessment scale

0-5

Objectives (course unit)

In this course, participants create mutual understanding on how the circular economy (CE) and risk management are interconnected. They explore the relation of both CE and risk management to sustainable development and the to need for systemic change. Participants will explore the transition from linear to circular economy, by using current concepts, solutions, and ecosystems created to promote the CE. As an important part of the course, the participants will familiarize themselves with risk management and how to identify, assess, and prioritize risks in different contexts. Participants learn how to search CE and risk management related literature from various sources and learn how to analyse and assess the reliability of different information sources. The assignments aim to support the use of versatile information sources and analysis of the materials from different viewpoints.

After completing the course, the participants can:
- Utilize various sources to find research-based information
- Explain current research-based knowledge of CE
- Analyze current concepts, solutions, and ecosystems of CE
- Describe risk management tools and processes
- Interpret connections between CE and risk management
- Suggest improvements for current CE concepts, solutions, and ecosystems

Content (course unit)

Information sources and searches
Current knowledge of CE
CE concepts, solutions, and ecosystems
Terminology of risk management
Risk management methods and tools
Implementation of risk management processes

Assessment criteria, satisfactory (1-2) (course unit)

The student can perform routine searches to find research-based information. The student can recognize and define phenomena and basic concepts of circular economy. The student knows the terminology, methods, and basic tools of risk management. The student can, with the help of others, manage to solve assigned tasks. The student gives and receives feedback but considers and assesses things only from his/her own point of view, without being able to generalize and contextualize. Commitment to create mutual understanding about interconnection of CE and risk management remains unclear and limited.

Assessment criteria, good (3-4) (course unit)

The student can perform searches of research-based information from various sources and explain and compare results in a logical way and can assess the reliability of the sources. The student can structure relations between field-related phenomena and the existing CE knowledge and concepts. Student can explain the terminology, methods, and tools of risk management and apply the knowledge. The student can apply research-based information to assigned tasks and select the most appropriate courses of actions from diverse options and justify his/her choice. The student can give and receive feedback actively and constructively and is able to generalize and conceptualize his/her views. The student can cooperate responsibly and is committed to creating mutual understanding about interconnections between CE and risk management.

Assessment criteria, excellent (5) (course unit)

The student can find research-based information from various sources and analyze and generalize and conceptualize the information. The student can relate the information to the professional context and is able to discuss the contents in an objective way. The student understands the terminology, methods, and tools for risk management and how to apply them professionally. The student can apply research-based information to assigned tasks in a versatile way and is able to select the most appropriate courses of actions from diverse options and justify his/her choice and try new courses of action. The student uses feedback systematically as a professional tool for growth in his/her own work and for the benefit of the community. The student can cooperate responsibly, flexibly, and constructively and develops his/her own and the group's interaction to create mutual understanding about interconnections between CE and risk management.

Assessment scale

0-5

Objectives (course unit)

After completing the course, a student:
- understands the fundamental concepts of artificial intelligence and its applications in the green transition
- understands how AI can contribute for developing circular economy concepts

Content (course unit)

AI Tools and Technologies such as machine learning, deep learning, natural language processing, and robotics,
Case study of how AI tools and technologies can be used in the green transition.

Assessment scale

0-5

Assessment scale

0-5

Assessment scale

0-5

Objectives (course unit)

In this course you will study basics of Finnish language. Estimated level is A1.3.

Objectives
After completing the course, the students will be able to:
• pronounce Finnish quite correctly
• understand and use short and simply structured expressions that concern basic situations related to everyday life
• learn to build up their vocabulary
• learn to use the basic grammatical structures of Finnish
• know, use and understand simple spoken and written expressions connected to everyday life.

Content (course unit)

Study book Suomen mestari 1, chapters 1–4, 8:
• alphabet and numbers
• introducing oneself
• telling about one’s family and background
• simple description of things and people
• telling about the weather
• shopping and food
• grammatical structures: basic sentences and questions, verb conjugation (positive and negative verbs), partitive, genitive, KPT-change, I have -structure

Assessment criteria, satisfactory (1-2) (course unit)

Students have been able to complete all the assignments acceptably. They can exchange greetings/farewells, introduce oneself and name a few objects. It is hard for them to attend a simple conversation or create a short text. Their pronunciation causes difficulties to understand meanings of produced speech.

Assessment criteria, good (3-4) (course unit)

Students have been able to complete all the assignments. Students have an active attitude towards studying Finnish language showing that by completing tasks according to the schedule. They are able to cope in the most common simple everyday situations. Students can use typical grammatical structures e.g. basic verb conjugation, possessive structure and partitive in simple sentences. They can write brief texts and pronounce Finnish quite clearly.

Assessment criteria, excellent (5) (course unit)

Students have been able to complete all the assignments acceptably. They have a positive and active attitude towards learning language. They can pronounce Finnish distinctively and are able to use suitable and varied expressions in everyday situations using grammar almost correctly. Students can participate in a conversation asking and responding to questions about topics studied in the course. They can write simple texts and recombine words and phrases into new sentences.

Location and time

Classes once a week - check your calendar for time and place (varies).

Exam schedules

Final exam at the end of the course.

Assessment methods and criteria

Participation in the course meetings.
Review of the course assignments.
Grade of the final exam.

Grading: 1-5.

Assessment scale

0-5

Teaching methods

We have classes once a week (3 x 45 min). There we focus on functional language usage and communicative methods. Discussions, group and pair work etc.

We also have independent work each week (instructions in Moodle). Independent work is essential for learning.

Learning materials

Study book Suomen mestari 1 uudistettu, chapters 5 - 9 + teacher´s materials on Moodle.

Student workload

You should prepare for the following schedule in each course week:
- 1 x 3 classes weekly.
- 6-10 hours of independent work (homework, course assignments, independent practice). The amount of independent work varies each week.

Completion alternatives

-

Further information

Guidelines for using AI in this implementation
If a student uses AI tools in an allowed manner to assist with their learning tasks, they must cite the AI tools used and provide the prompts they used alongside their task responses. If a student presents AI-generated results as their own without citations, sources, and/or prompts, the teacher may reject the work or require it to be redone. The teacher has the right to ask the student if they have used AI in their learning task.

Objectives (course unit)

After completing the course, a student:
- understands the fundamental concepts of artificial intelligence and its applications in the green transition
- understands how AI can contribute for developing circular economy concepts

Content (course unit)

AI Tools and Technologies such as machine learning, deep learning, natural language processing, and robotics,
Case study of how AI tools and technologies can be used in the green transition.

Location and time

Online. Weekly meetings schedule will be approved in the first session. Thursday afternoons probable.

Exam schedules

No exam.

Assessment methods and criteria

Students are graded based on attendance and participation on weekly sessions (35%), case study (35%) and final project/podcast (30%).
Opportunities for extra credit or absence makeup exist via taking support roles in team learning and/or podcasting.

Assessment scale

0-5

Teaching methods

Team learning, inquiry-based projects, and prototyping (=building a basic model of your idea to test to see what works), case study and final project are done in small teams

Learning materials

No mandatory reading.

Student workload

Approximatelly 135h in total

Content scheduling

First session on 24.9.2024. Weekly sessions for 12 weeks with the Chrismas/New Years break in the middle. The last session on or about 20.2.2025. Case study deadline on or about 30.1.2025. Podcast publication deadline on or about 17.2.2024.

Completion alternatives

The course requires in person participation in weekly online meetings. Occasional absences can be made up by taking support roles in team learning and/or podcasting.
The course defaults to students working in small teams in their case study and final project/podcast. If that is unfeasible, for example if the case study requires access to confidential information, allowances can be made for individual work after case by case consideration.

Practical training and working life cooperation

Students are encouraged to engage industry experts in their final project/podcast.

International connections

Students are encouraged to engage international industry experts in their final project/podcast and/or draw their case study topic from an international domain.